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utilizing lung epithelial cell and in vivo models. Different airway epithelial cell cultures models will be developed to study ON uptake and effect in (patho)physiological conditions of lung diseases
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consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as well as system engineering approaches (modeling
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and computer science, connected to MDU’s existing research areas. The PhD project focuses on the development of a large language model (LLM)-based AI agent specialized in energy decision-making
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tumour specific antigens (e.g. EPCAM) in magnetic nanoMIP and fluorescent nanoMIP formats. The doctoral candidate shall support MIP design with molecular modelling and undertake nanoMIP synthesis
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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient
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to identify a model able to explain the presence of zonal jets. You will be based at the Dept. of Earth Sciences in Uppsala, but will be expected to travel both nationally and internationally. The position is
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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Biomedical Science working on molecular modeling of proteins and lipids to investigate biomolecular condensates at cell membranes. Project This PhD project investigates how proteins interact and organize